- Task : De-noise Augmented Image (Noised, Rotated, Transformed)
- Trained and Implemented De-noising Auto-encoder and De-noising Variational Auto-encoder with encoder and decoder in Res-Net Style from scratch using PyTorch.
- Trained a condition Variational Auto-encoder to generate one of the classes of MNIST Dataset at Inference time given class label (Generating De-noised Image).
-
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Scratch Implementation of Conditional Vartiational Autoencoder for Denoising the augmented images of digits using ONLY PyTorch